Implement CI/CD pipeline on real Akida hardware #3
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| name: models-float | |
| on: | |
| pull_request: | |
| workflow_dispatch: | |
| permissions: | |
| contents: read | |
| concurrency: | |
| group: models-float-${{ github.ref }} | |
| cancel-in-progress: true | |
| jobs: | |
| scope: | |
| name: scope (float) | |
| runs-on: ubuntu-24.04 | |
| timeout-minutes: 10 | |
| outputs: | |
| run_all: ${{ steps.discover.outputs.run_all }} | |
| v1_float: ${{ steps.discover.outputs.v1_float }} | |
| v2_float: ${{ steps.discover.outputs.v2_float }} | |
| steps: | |
| - uses: actions/checkout@v5 | |
| with: | |
| fetch-depth: 0 | |
| lfs: false | |
| - name: Discover models in scope | |
| id: discover | |
| run: | | |
| if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then | |
| python test/discover_models.py --all --github-output >> "$GITHUB_OUTPUT" | |
| else | |
| python test/discover_models.py --diff "origin/${{ github.base_ref }}" --github-output >> "$GITHUB_OUTPUT" | |
| fi | |
| float-sanity: | |
| needs: scope | |
| if: needs.scope.outputs.v1_float != '' || needs.scope.outputs.v2_float != '' | |
| runs-on: ubuntu-24.04 | |
| timeout-minutes: 90 | |
| env: | |
| MODELS: ${{ needs.scope.outputs.v1_float }} ${{ needs.scope.outputs.v2_float }} | |
| steps: | |
| - uses: actions/checkout@v5 | |
| with: | |
| lfs: false | |
| - name: Fetch model files (LFS, scoped) | |
| run: | | |
| INCLUDE=$(echo $MODELS | xargs | tr ' ' ',') | |
| git lfs pull --include="$INCLUDE" | |
| - uses: actions/setup-python@v6 | |
| with: | |
| python-version: '3.12' | |
| - name: Install pinned toolchain (CPU, public PyPI) | |
| run: | | |
| # Install the akida_models/tensorflow versions pinned in | |
| # pyproject.toml, but with the CPU tensorflow build (no [and-cuda]): | |
| # GitHub-hosted runners have no GPU and the CUDA wheels are large. | |
| AKIDA_MODELS_SPEC=$(grep -oE 'akida_models==[0-9][0-9a-z.]*' pyproject.toml | head -1) | |
| TF_SPEC=$(grep -oE 'tensorflow(\[and-cuda\])?==[0-9][0-9a-z.]*' pyproject.toml | head -1 | sed 's/\[and-cuda\]//') | |
| pip install "$TF_SPEC" "$AKIDA_MODELS_SPEC" pytest | |
| - name: Float model quantize sanity | |
| run: pytest test/test_models.py -v -m "not hardware" --models "$MODELS" |